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Multivariate Time Series (MTS) forecasting is a fundamental task with numerous real-world applications, such as transportation, climate, and epidemiology.
Robust estimation of a location parameter
Peter J Huber · 1992
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Discrete-time signal processing
Alan V Oppenheim · 1999
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Review of seasonal climate forecasting for agriculture in sub-saharan africa
James W Hansen, Simon J Mason, Liqiang Sun, and Arame Tall · 2011
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Big data in precision agriculture: Weather forecasting for future farming
MR Bendre, RC Thool, and VR Thool · 2015
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Semi-supervised classification with graph convolutional networks
Thomas N Kipf and Max Welling · 2016
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Decadal-scale forecasting of climate drivers for marine applications
Jim Salinger, AJ Hobday, RJ Matear, TJ O’Kane, JS Risbey, Piers Dunstan, JP Eveson, EA Fulton, M Feng, EE Plaganyi, et al · 2016
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Targeted backdoor attacks on deep learning systems using data poisoning
Xinyun Chen, Chang Liu, Bo Li, Kimberly Lu, and Dawn Song · 2017
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Badnets: Identifying vulnerabilities in the machine learning model supply chain
Tianyu Gu, Brendan Dolan-Gavitt, and Siddharth Garg · 2017
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Adversarial examples in the physical world
Alexey Kurakin, Ian J Goodfellow, and Samy Bengio · 2018
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Road traffic forecasting: Recent advances and new challenges
Ibai Lana, Javier Del Ser, Manuel Velez, and Eleni I Vlahogianni · 2018
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Backdoor embedding in convolutional neural network models via invisible perturbation
Cong Liao, Haoti Zhong, Anna Squicciarini, Sencun Zhu, and David Miller · 2018
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Toward data-driven weather and climate forecasting: Approximating a simple general circulation model with deep learning
Sebastian Scher · 2018
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Spectral signatures in backdoor attacks
Brandon Tran, Jerry Li, and Aleksander Madry · 2018
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Long-term mobile traffic forecasting using deep spatio-temporal neural networks
Chaoyun Zhang and Paul Patras · 2018
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Stock price forecasting model based on modified convolution neural network and financial time series analysis
Jiasheng Cao and Jinghan Wang · 2019
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A backdoor attack against lstm-based text classification systems
Jiazhu Dai, Chuanshuai Chen, and Yufeng Li · 2019
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A review of epidemic forecasting using artificial neural networks
Philemon Manliura Datilo, Zuhaimy Ismail, and Jayeola Dare · 2019
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Real-time epidemic forecasting: challenges and opportunities
Angel N Desai, Moritz UG Kraemer, Sangeeta Bhatia, Anne Cori, Pierre Nouvellet, Mark Herringer, Emily L Cohn, Malwina Carrion, John S Brownstein, Lawrence C Madoff, et al · 2019
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Unsupervised scalable representation learning for multivariate time series
Jean-Yves Franceschi, Aymeric Dieuleveut, and Martin Jaggi · 2019
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Tcnn: Temporal convolutional neural network for real-time speech enhancement in the time domain
Ashutosh Pandey and DeLiang Wang · 2019
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Multivariate temporal convolutional network: A deep neural networks approach for multivariate time series forecasting
Renzhuo Wan, Shuping Mei, Jun Wang, Min Liu, and Fan Yang · 2019
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Defsi: Deep learning based epidemic forecasting with synthetic information
Lijing Wang, Jiangzhuo Chen, and Madhav Marathe · 2019
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T-gcn: A temporal graph convolutional network for traffic prediction
Ling Zhao, Yujiao Song, Chao Zhang, Yu Liu, Pu Wang, Tao Lin, Min Deng, and Haifeng Li · 2019
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Usad: Unsupervised anomaly detection on multivariate time series
Julien Audibert, Pietro Michiardi, Frédéric Guyard, Sébastien Marti, and Maria A Zuluaga · 2020
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Adaptive graph convolutional recurrent network for traffic forecasting
Lei Bai, Lina Yao, Can Li, Xianzhi Wang, and Can Wang · 2020
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Adversarial attacks on probabilistic autoregressive forecasting models
Raphaël Dang-Nhu, Gagandeep Singh, Pavol Bielik, and Martin Vechev · 2020
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Stgcn: a spatial-temporal aware graph learning method for poi recommendation
Haoyu Han, Mengdi Zhang, Min Hou, Fuzheng Zhang, Zhongyuan Wang, Enhong Chen, Hongwei Wang, Jianhui Ma, and Qi Liu · 2020
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Mind the style of text! adversarial and backdoor attacks based on text style transfer
Fanchao Qi, Yangyi Chen, Xurui Zhang, Mukai Li, Zhiyuan Liu, and Maosong Sun · 2021
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A deep learning model for forecasting sea surface height anomalies and temperatures in the south china sea
Qi Shao, Wei Li, Guijun Han, Guangchao Hou, Siyuan Liu, Yantian Gong, and Ping Qu · 2021
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Adversarial attacks on deep neural networks for time series prediction
Aidong Xu, Xuechun Wang, Yunan Zhang, Tao Wu, and Xingping Xian · 2021
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Informer: Beyond efficient transformer for long sequence time-series forecasting
Haoyi Zhou, Shanghang Zhang, Jieqi Peng, Shuai Zhang, Jianxin Li, Hui Xiong, and Wancai Zhang · 2021
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Improving time series forecasting using lstm and attention models
Hossein Abbasimehr and Reza Paki · 2022
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Time series forecasting of agricultural product prices based on recurrent neural networks and its evaluation method
Koichi Kurumatani · 2020
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Reflection backdoor: A natural backdoor attack on deep neural networks
Yunfei Liu, Xingjun Ma, James Bailey, and Feng Lu · 2020
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Adversarial examples in deep learning for multivariate time series regression
Gautam Raj Mode and Khaza Anuarul Hoque · 2020
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Stock price forecasting with deep learning: A comparative study
Tej Bahadur Shahi, Ashish Shrestha, Arjun Neupane, and William Guo · 2020
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Spatial-temporal synchronous graph convolutional networks: A new framework for spatial-temporal network data forecasting
Chao Song, Youfang Lin, Shengnan Guo, and Huaiyu Wan · 2020
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Time series forecasting of agricultural products’ sales volumes based on seasonal long short-term memory
Tae-Woong Yoo and Il-Seok Oh · 2020
Cited alongside, same era.
Clean-label backdoor attacks on video recognition models
Shihao Zhao, Xingjun Ma, Xiang Zheng, James Bailey, Jingjing Chen, and Yu-Gang Jiang · 2020
Cited alongside, same era.
Towards backdoor attack on deep learning based time series classification
Daizong Ding, Mi Zhang, Yuanmin Huang, Xudong Pan, Fuli Feng, Erling Jiang, and Min Yang · 2022
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Stealthy backdoor attack with adversarial training
Le Feng, Sheng Li, Zhenxing Qian, and Xinpeng Zhang · 2022
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Graph neural network for traffic forecasting: A survey
Weiwei Jiang and Jiayun Luo · 2022
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Dstagnn: Dynamic spatial-temporal aware graph neural network for traffic flow forecasting
Shiyong Lan, Yitong Ma, Weikang Huang, Wenwu Wang, Hongyu Yang, and Pyang Li · 2022
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Robust multivariate time-series forecasting: adversarial attacks and defense mechanisms
Linbo Liu, Youngsuk Park, Trong Nghia Hoang, Hilaf Hasson, and Jun Huan · 2022
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Non-stationary transformers: Exploring the stationarity in time series forecasting
Yong Liu, Haixu Wu, Jianmin Wang, and Mingsheng Long · 2022
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A time series is worth 64 words: Long-term forecasting with transformers
Yuqi Nie, Nam H Nguyen, Phanwadee Sinthong, and Jayant Kalagnanam · 2022
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An invisible black-box backdoor attack through frequency domain
Tong Wang, Yuan Yao, Feng Xu, Shengwei An, Hanghang Tong, and Ting Wang · 2022
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Timesnet: Temporal 2d-variation modeling for general time series analysis
Haixu Wu, Tengge Hu, Yong Liu, Hang Zhou, Jianmin Wang, and Mingsheng Long · 2022
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Small perturbations are enough: Adversarial attacks on time series prediction
Tao Wu, Xuechun Wang, Shaojie Qiao, Xingping Xian, Yanbing Liu, and Liang Zhang · 2022
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Fedformer: Frequency enhanced decomposed transformer for long-term series forecasting
Tian Zhou, Ziqing Ma, Qingsong Wen, Xue Wang, Liang Sun, and Rong Jin · 2022
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Backdoor attacks on time series: A generative approach
Yujing Jiang, Xingjun Ma, Sarah Monazam Erfani, and James Bailey · 2023
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Novel optimization approach for stock price forecasting using multi-layered sequential lstm
Abdul Quadir Md, Sanjit Kapoor, Chris Junni AV, Arun Kumar Sivaraman, Kong Fah Tee, H Sabireen, and N Janakiraman · 2023
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Time series adversarial attacks: an investigation of smooth perturbations and defense approaches
Gautier Pialla, Hassan Ismail Fawaz, Maxime Devanne, Jonathan Weber, Lhassane Idoumghar, Pierre-Alain Muller, Christoph Bergmeir, Daniel F Schmidt, Geoffrey I Webb, and Germain Forestier · 2023
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Interpretable stock price forecasting model using genetic algorithm-machine learning regressions and best feature subset selection
Kyung Keun Yun, Sang Won Yoon, and Daehan Won · 2023
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Progress and prospects of data-driven stock price forecasting research
Chuanjun Zhao, Meiling Wu, Jingfeng Liu, Zening Duan, Lihua Shen, Xuekui Shangguan, Donghang Liu, Yanjie Wang, et al · 2023
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Crossgnn: Confronting noisy multivariate time series via cross interaction refinement
Qihe Huang, Lei Shen, Ruixin Zhang, Shouhong Ding, Binwu Wang, Zhengyang Zhou, and Yang Wang · 2024
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